Sánchez C Héctor M, Wu Sean L, Henry John M, Guerra Carlos A, Galick David S, Gárcia Guillermo A, Marshall John M, Smith David L
Divisions of Biostatistics & Epidemiology, University of California, Berkeley, Berkeley, California, USA.
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA.
bioRxiv. 2025 Mar 25:2025.03.22.642900. doi: 10.1101/2025.03.22.642900.
Mosquito dispersal plays an important role in mosquito ecology and mosquito-borne pathogen transmission. While reaction-diffusion and patch-based models with simple flux assumptions for emigration have played a predominant role in modeling mosquito dispersal, mosquito behavioral ecology - in particular, the process of searching for resources - is usually ignored by diffusion-based models. We thus set out to analyze mosquito movement using highly mimetic models, to see what we could learn from a different approach. Here, we explore mosquito dispersal in behavioral state microsimulation models, in which mosquitoes are in behavioral states and search for the required resources that are distributed on a landscape. Models of this sort are laborious and challenging to work with, so we developed , an R package to build, solve, analyze, and visualize behavioral state microsimulation models for mosquitoes. We show that even when resources are distributed randomly and uniformly, mosquito populations tend to form highly spatially structured communities. We also show that some heterogeneity in mosquito population densities is attributed to features of a network defined by searching and the spatial distribution of resources. These models highlight the importance of understanding mosquito behaviors and resource availability as factors structuring mosquito population movement. Motivated by these dynamics, spatial models for mosquito ecology and mosquito-borne pathogen transmission would benefit from considering resource availability as a factor affecting mosquito movement and dispersal.
蚊子的扩散在蚊子生态学和蚊媒病原体传播中起着重要作用。虽然具有简单迁出通量假设的反应扩散模型和基于斑块的模型在模拟蚊子扩散方面发挥了主导作用,但基于扩散的模型通常忽略了蚊子的行为生态学,特别是寻找资源的过程。因此,我们着手使用高度模拟的模型来分析蚊子的移动,看看我们能从不同的方法中学到什么。在这里,我们在行为状态微观模拟模型中探索蚊子的扩散,在这些模型中,蚊子处于行为状态并寻找分布在景观中的所需资源。这类模型使用起来既费力又具有挑战性,所以我们开发了MosquitoSim,一个用于构建、求解、分析和可视化蚊子行为状态微观模拟模型的R包。我们表明,即使资源是随机且均匀分布的,蚊子种群也倾向于形成高度空间结构化的群落。我们还表明,蚊子种群密度的一些异质性归因于由搜索定义的网络特征和资源的空间分布。这些模型强调了理解蚊子行为和资源可用性作为构建蚊子种群移动的因素的重要性。受这些动态的启发,用于蚊子生态学和蚊媒病原体传播的空间模型将受益于将资源可用性视为影响蚊子移动和扩散的一个因素。